Transvenous lead extraction (TLE) is regarded as the first-line strategy for the management of complications associated with cardiac implantable electronic devices (CIEDs), when lead removal is mandatory. The decision to perform a lead extraction should take into consideration not only the strength of the clinical indication for the procedure but also many other factors such as risks versus benefits, extractor and team experience, and even patient preference. TLE is a procedure with a possible high risk of complications. In this paper, we present three clinical cases of patients who presented different indications of TLE and explain how the procedures were successfully performed. In the first clinical case, TLE was necessary because of device extravasation and suspicion of CIED pocket infection. In the second clinical case, TLE was necessary because occlusion of the left subclavian vein was found when an upgrade to cardiac resynchronization therapy was performed. In the last clinical case, TLE was necessary in order to remove magnetic resonance (MR) non-conditional leads, so the patient could undergo an MRI examination for the management of a brain tumor.
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http://dx.doi.org/10.3390/ijerph20010379 | DOI Listing |
Sci Rep
January 2025
Department of ECE, Kallam Haranadhareddy Institute of Technology, Guntur, Andhra Pradesh, India.
Cognitive load stimulates neural activity, essential for understanding the brain's response to stress-inducing stimuli or mental strain. This study examines the feasibility of evaluating cognitive load by extracting, selection, and classifying features from electroencephalogram (EEG) signals. We employed robust local mean decomposition (R-LMD) to decompose EEG data from each channel, recorded over a four-second period, into five modes.
View Article and Find Full Text PDFJ Environ Manage
January 2025
School of Energy and Environmental Engineering, University of Science and Technology Beijing, Beijing, 100083, China.
The cultivation of edible mushrooms plays a significant role in revitalizing numerous rural regions in China. However, this process generates a large amount of spent mushroom substrate (SMS). Traditional methods for handling SMS, such as random stacking and incineration, lead to resource waste and environmental pollution.
View Article and Find Full Text PDFNat Commun
January 2025
School of Petroleum Engineering, China University of Petroleum (East China), Qingdao, China.
Hydrogen is a promising clean energy source with geological reserves widely distributed globally, offering an annual flow exceeding 23 trillion grams. However, natural hydrogen extraction wells face unique safety challenges compared to conventional oil and gas wells. This paper reviews well safety concerns such as tubing/casing damage, cement/sealant failure, and excessive annular pressure buildup.
View Article and Find Full Text PDFInt J Biol Macromol
January 2025
Department of Pharmacy, Affiliated Hospital of North Sichuan Medical College, Nanchong, Sichuan, 637000, P. R. China; School of Pharmacy, North Sichuan Medical College, Nanchong, Sichuan, 637000, P. R. China. Electronic address:
The genus Chrysanthemum has been widely used as both folk medicine and food in East Asia for thousands of years, serving as a significant source of nutritional and pharmacological value. According to the theory of traditional Chinese medicine, it clears heat and toxic materials and regulates liver function. Accumulating evidence has demonstrated that polysaccharides from the genus Chrysanthemum, especially Chrysanthemum morifolium, Chrysanthemum indicum, and Coreopsis tinctoria, are vital representative macromolecules with diverse biological activities, including antioxidant, immunomodulatory, anti-inflammatory, hypoglycemic, antitumor, and antiviral properties as well as the ability to regulate the gut microbiota.
View Article and Find Full Text PDFComput Biol Chem
December 2024
School of Software, Henan Polytechnic University, Jiaozuo 454003, China. Electronic address:
Background: Compound-protein interaction (CPI) is essential to drug discovery and design, where traditional methods are often costly and have low success rates. Recently, the integration of machine learning and deep learning in CPI research has shown potential to reduce costs and enhance discovery efficiency by improving protein target identification accuracy. Additionally, with an urgent need for novel therapies against complex diseases, CPI investigation could lead to the identification of effective new drugs.
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